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Eugene Fama

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American economist (born 1939)
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(October 2013) (Learn how and when to remove this message)
Eugene Fama
Fama in 2013
Born (1939-02-14)February 14, 1939 (age 86)
Academic background
Alma materTufts University (BA)
University of Chicago (MBA,PhD)
ThesisThe Distribution of the Daily Differences of the Logarithms of Stock Prices (1964)
Doctoral advisorMerton Miller
Harry V. Roberts
Academic work
DisciplineFinancial economics,Organizational economics,Macroeconomics
School or traditionChicago School of Economics
InstitutionsUniversity of Chicago
Doctoral studentsCliff Asness,Myron Scholes,Mark Carhart
Notable ideasFama–French three-factor model
Efficient-market hypothesis
Awards2005Deutsche Bank Prize in Financial Economics
2008 Morgan Stanley-American Finance Association Award
Nobel Memorial Prize in Economics (2013)
Website
Part ofa series on the
Chicago school
of economics

Eugene Francis "Gene"Fama (/ˈfɑːmə/; born February 14, 1939) is an American economist, and Nobel Laureate[1], best known for his empirical work onportfolio theory,asset pricing, and theefficient-market hypothesis.

He is Robert R. McCormick Distinguished Service Professor of Finance at theUniversity of Chicago Booth School of Business. In 2013, he shared theNobel Memorial Prize in Economic Sciences jointly withRobert J. Shiller andLars Peter Hansen.[2][3] TheResearch Papers in Economics project ranked him as the 9th-most influential economist of all time based on his academic contributions, as of April 2019[update].[4] He is regarded as "the father of modern finance", as his works built the foundation of financial economics and have been cited widely.[5]

Early life

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Fama was born in Boston, Massachusetts, the son of Angelina (née Sarraceno) and Francis Fama. All of his grandparents were immigrants from Italy.[6] Fama is aMalden Catholic High School Athletic Hall of Fame honoree. He earned his undergraduate degree in Romance Languagesmagna cum laude in 1960 fromTufts University, where he was also selected as the school's outstanding student–athlete.[7]

Graduate studies, career, and research

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Fama's MBA and PhD came from theBooth School of Business at theUniversity of Chicago in economics andfinance. His doctoral supervisors were Nobel prize winnerMerton Miller andHarry V. Roberts, butBenoit Mandelbrot was also an important influence.[8] He has spent the entirety of his teaching career at the University of Chicago.

His PhD thesis, which concluded that short-termstock price movements are unpredictable and approximate arandom walk, was published in the January 1965 issue of theJournal of Business, entitled "The Behavior of Stock Market Prices". That work was subsequently rewritten into a less technical article, "Random Walks In Stock Market Prices",[9] which was published in theFinancial Analysts Journal in 1965 andInstitutional Investor in 1968. His later work with Kenneth French showed that predictability in expected stock returns can be explained by time-varying discount rates; for example, higher average returns during recessions can be explained by a systematic increase in risk aversion, which lowers prices and increases average returns.[10] His article "The Adjustment of Stock Prices to New Information" in theInternational Economic Review, 1969 (with several co-authors) was the firstevent study that sought to analyze how stock prices respond to an event, using price data from the newly availableCRSP database. This was the first of literally hundreds of such published studies.[citation needed]

Fama has served on the Board of Directors of money management firmDimensional Fund Advisors since 1982.[11] As of the end of 2024, DFA had $786 billion of assets under management.[12]

In 2013, Fama, along withLars Hansen andRobert Shiller, was awarded theNobel Memorial Prize in Economic Sciences.

In 2019, the University of Chicago announced that one of thestudent houses of Woodlawn Residential Commons, which opened in 2020, would be named after Fama.[13][14]

Efficient market hypothesis

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Main article:Efficient-market hypothesis

Fama is most often thought of as the father of the efficient-market hypothesis, which began with his PhD thesis. In 1965 he published an analysis of the behavior of stock market prices that showed that they exhibited so-calledfat tail distribution properties, implying extreme movements were more common than predicted on the assumption ofnormality.[15][16]

In an article in the May 1970 issue of theJournal of Finance, entitled "Efficient Capital Markets: A Review of Theory and Empirical Work",[17] Fama proposed two concepts that have been used on efficient markets ever since. First, Fama proposed three types of efficiency: (i) strong-form; (ii) semi-strong form; and (iii) weak efficiency. They are explained in the context of what information sets are factored in price trend. In weak form efficiency the information set is just historical prices, which can be predicted from historical price trend; thus, it is impossible to profit from it. Semi-strong form requires that all public information is reflected in prices already, such as companies' announcements or annual earnings figures. Finally, the strong-form concerns all information sets, including private information, are incorporated in price trend; it states no monopolistic information can entail profits, in other words, insider trading cannot make a profit in the strong-form market efficiency world.Second, Fama demonstrated that the notion of market efficiency could not be rejected without an accompanying rejection of the model of market equilibrium (e.g. the price setting mechanism). This concept, known as the "joint hypothesis problem", has ever since vexed researchers.[citation needed] Market efficiency denotes how information is factored in price, Fama (1970) emphasizes that the hypothesis of market efficiency must be tested in the context of expected returns. The joint hypothesis problem states that when a model yields a predicted return significantly different from the actual return, one can never be certain if there exists an imperfection in the model or if the market is inefficient. Researchers can only modify their models by adding different factors to eliminate any anomalies, in hopes of fully explaining the return within the model. The anomaly, also known as alpha in the modeling test, thus functions as a signal to the model maker whether it can perfectly predict returns by the factors in the model. However, as long as there exists an alpha, neither the conclusion of a flawed model nor market inefficiency can be drawn according to the Joint Hypothesis.[citation needed] Fama (1991) also stresses that market efficiency per se is not testable and can only be tested jointly with some model of equilibrium, i.e. an asset-pricing model.

Fama–French three-factor model

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Main article:Fama–French three-factor model

In recent decades, Fama has continued to write influential papers, most of which have been co-written withKenneth French, that challenge the validity of theCapital Asset Pricing Model (CAPM), which posits that a stock'sbeta alone should explain its average return. These papers describe two factors in addition to a stock's market beta which can explain differences in stock returns: market capitalization and relative price. They also offer evidence that a variety of patterns in average returns, often labeled as "anomalies" in past work, can be explained with theirFama–French three-factor model.[18] The model introduced in this 1993 article rapidly became a standard benchmark in academic papers for evaluating portfolio performance. The three factor model used returns on the market, value (measured using book value of equity-to-market value of equity), and size (market cap) to explain portfolio returns. In 2015, they added two more factors, a profitability factor and an investment factor, to create a five-factor model.[19]

Economic bubbles

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Fama has expressed skepticism about the notion thateconomic bubbles can be identified.[20][21] He argues that for something to be a bubble, its ending needs to be predicted in real time, not just after the fact. He argues that conventional rhetoric about bubbles proposes no testable propositions and no ways to measure a bubble.[22]

Fama has been skeptical about the long-term viability ofbitcoin, citing its extreme volatility, lack of intrinsic value, and violation of basic monetary principles.[23]

Bibliography

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  • The Theory of Finance, Dryden Press, 1972
  • Foundations of Finance: Portfolio Decisions and Securities Prices, Basic Books, 1976
  • The Fama Portfolio: Selected Papers of Eugene F. Fama, edited byJohn H. Cochrane andToby Moskowitz, University of Chicago Press, 2017

References

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  1. ^"Eugene F. Fama – Facts - NobelPrize.org".NobelPrize.org. Archived fromthe original on 2025-09-23. Retrieved2025-11-16.
  2. ^Eugene F. Fama on Nobelprize.orgEdit this at Wikidata, accessed 12 October 2020
  3. ^"3 US Economists Win Nobel for Work on Asset Prices",abc news, October 14, 2013
  4. ^"Economist Rankings at IDEAS – Top 10% Authors, as of April 2019".Research Papers in Economics. April 2019. RetrievedMay 22, 2019.
  5. ^Eugene F. Fama personal website
  6. ^Colin Read,The Efficient Market Hypothesists: Bachelier, Samuelson, Fama, Ross, Tobin and Shiller, Palgrave Macmillan, 2012,p. 94
  7. ^Ritter, Karl; Rising, Malin (2013-10-14)."3 Americans win Nobel prize in economics".Boston Globe. Retrieved2013-10-14.
  8. ^"Mathematics Genealogy Project". Genealogy.math.ndsu.nodak.edu. Retrieved2013-10-14.
  9. ^Fama, Eugene F. (September–October 1965). "Random Walks In Stock Market Prices".Financial Analysts Journal.21 (5):55–59.CiteSeerX 10.1.1.4.8514.doi:10.2469/faj.v21.n5.55.
  10. ^Fama and French (1988)
  11. ^DFA Board of Directors."Eugene Fama". RetrievedMay 19, 2025.
  12. ^Dimensional Fund Advisors."About Us". RetrievedMay 19, 2025.
  13. ^"Woodlawn Residential Commons | The College | The University of Chicago | The University of Chicago".college.uchicago.edu. Retrieved2024-03-27.
  14. ^"University announces names for seven new College residential houses | University of Chicago News".news.uchicago.edu. 2019-09-11. Retrieved2024-03-27.
  15. ^"The behavior of stock-market prices." Journal of business (1965): 34-105
  16. ^"Q&A: Confidence in the Bell Curve" (an interview with Fama and French). March 18, 2009. Archived fromthe original on June 13, 2015.
  17. ^Malkiel, Burton G.; Fama, Eugene F. (1970)."Efficient capital markets: a review of theory and empirical work".The Journal of Finance.25 (2):383–417.doi:10.1111/j.1540-6261.1970.tb00518.x. Archived fromthe original on 2022-01-20. Retrieved2020-10-31.
  18. ^Fama, Eugene F.; French, Kenneth R. (1993). "Common Risk Factors in the Returns on Stocks and Bonds".Journal of Financial Economics.33 (1):3–56.CiteSeerX 10.1.1.139.5892.doi:10.1016/0304-405X(93)90023-5.
  19. ^Fama, Eugene; French, Kenneth (April 2015)."A five-factor asset pricing model, Vol. 116, pp. 1-22".Journal of Financial Economics.116 (1):1–22.doi:10.1016/j.jfineco.2014.10.010.
  20. ^Engsted, Tom (2016)."Fama on Bubbles".Journal of Economic Surveys.30 (2):370–376.doi:10.1111/joes.12104.ISSN 1467-6419.
  21. ^Greenwood, Robin; Shleifer, Andrei; You, Yang (2019-01-01)."Bubbles for Fama".Journal of Financial Economics.131 (1):20–43.doi:10.1016/j.jfineco.2018.09.002.ISSN 0304-405X.
  22. ^Competiello, Christopher."'People see bubbles where there are none': Why Nobel laureate Eugene Fama thinks bubbles are impossible to identify in real time — and why behavioral finance is a myth".Business Insider. Retrieved2025-02-01.
  23. ^"Nobel Laureate Eugene Fama Predicts Bitcoin Will Become Worthless".ProMarket. 2025-01-30.

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